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BlockwiseConvolutionOptions< N > Class Template Reference |  |
#include <vigra/multi_blockwise.hxx>
Inheritance diagram for BlockwiseConvolutionOptions< N >:
Additional Inherited Members | |
 Public Types inherited from ParallelOptions | |
| enum | { Auto = -1, Nice = -2, NoThreads = 0 } |
| Public Member Functions inherited from BlockwiseOptions | |
| BlockwiseOptions & | blockShape (const Shape &blockShape) |
| template<class T , int N> | |
| BlockwiseOptions & | blockShape (const TinyVector< T, N > &blockShape) |
| BlockwiseOptions & | blockShape (MultiArrayIndex blockShape) |
| Shape const & | getBlockShape () const |
| template<int N> | |
| TinyVector< MultiArrayIndex, N > | getBlockShapeN () const |
| Public Member Functions inherited from ParallelOptions | |
| int | getActualNumThreads () const |
| Get desired number of threads. More... | |
| int | getNumThreads () const |
| Get desired number of threads. More... | |
| ParallelOptions & | numThreads (const int n) |
Set the number of threads or one of the constants Auto, Nice and NoThreads. More... | |
| Public Member Functions inherited from ConvolutionOptions< N > | |
| ConvolutionOptions< dim > & | filterWindowSize (double ratio) |
| ConvolutionOptions< dim > & | innerScale (...) |
| ConvolutionOptions< dim > & | outerScale (...) |
| ConvolutionOptions< dim > & | resolutionStdDev (...) |
| ConvolutionOptions< dim > & | stdDev (...) |
| ConvolutionOptions< dim > & | stepSize (...) |
| ConvolutionOptions< dim > & | subarray (Shape const &from, Shape const &to) |
Detailed Description
template<unsigned int N>
class vigra::BlockwiseConvolutionOptions< N >
Option class for blockwise convolution algorithms.
Simply derives from vigra::BlockwiseOptions and vigra::ConvolutionOptions to join their capabilities.
The documentation for this class was generated from the following file:
- vigra/multi_blockwise.hxx